# IBM Research At IBM Research, we're inventing what's next in AI, quantum computing, and hybrid cloud to shape the world ahead. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## From error mitigation to fault-tolerant quantum computing DevFeed: [From error mitigation to fault-tolerant quantum computing]() Original publisher: [Read original article]() Published: 2026-09-15T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [ibm]() Tags: [compilation](), [deep-dive](), [errors](), [hardware](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-software](), [real-time](), [reduce](), [resource]() ### AI overview The article describes a continuum from quantum error mitigation to quantum error correction as a path toward useful quantum computing. It reports emerging techniques with lower effective error rates, reduced sampling overhead, and lower resource requirements than conventional approaches. ### Source excerpt A spectrum of error-correcting techniques is enabling useful quantum computation, measured not by logical qubits but by the circuits you can run with them. ## A theoretical separation between quantum computers & LLMs DevFeed: [A theoretical separation between quantum computers & LLMs]() Original publisher: [Read original article]() Author: Srinivasan Arunachalam; Arkopal Dutt; Hari Krovi; Rik Sengupta; Ryan Mandelbaum Published: 2026-09-15T04:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [LLMs](), [Computer science]() Tags: [ai](), [computer-science](), [llms](), [quantum](), [research](), [science]() ### AI overview The article discusses research showing theoretical separations between shallow quantum circuits and restricted large language models. The work identifies computational problems involving function computation and sampling where shallow quantum circuits have a provable advantage, while emphasizing that the results are theoretical rather than immediately practical. ### Source excerpt Recent research further demonstrates the theoretical abilities of quantum computing ## Introducing IBM and NASA's new foundation model for the Moon DevFeed: [Introducing IBM and NASA's new foundation model for the Moon]() Original publisher: [Read original article]() Author: Kim Martineau Published: 2026-09-10T12:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [lunar foundation model](), [ibm](), [foundation-models](), [data](), [Artificial Intelligence](), [AI Architecture]() Tags: [accelerated-discovery](), [ai](), [ai-architecture](), [algorithms](), [ibm](), [lunar-foundation-model](), [mapping](), [model](), [nasa](), [release](), [science](), [space](), [us]() ### AI overview IBM and NASA are open-sourcing the NASA-IBM Lunar Foundation Model, a multimodal AI model that integrates lunar observations from US and Japanese missions across viewing angles, spatial scales, and measurement types. The model is intended to support lunar mapping, volcanic-history research, and searches for polar ice. ### Source excerpt The multi-modal model could help astronauts navigate craters, investigate ancient lava, and search for ice, as the US plans for a long-term lunar presence. ## Switzerland's first IBM Quantum System Two DevFeed: [Switzerland's first IBM Quantum System Two]() Original publisher: [Read original article]() Published: 2026-09-10T07:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [ibm](), [Supercomputing]() Tags: [2026](), [collaboration](), [development](), [hub](), [ibm](), [industry](), [innovation](), [news](), [quantum](), [quantum-community](), [quantum-computing](), [quantum-network](), [quantum-systems](), [research](), [science](), [switzerland](), [technology](), [with]() ### AI overview IBM and Lockheed Martin are launching a quantum innovation hub at ETH Zurich, anchored by Switzerland's first IBM Quantum System Two. Expected to be operational by the end of 2026 at the Swiss National Supercomputing Centre in Lugano, it will expand quantum computing access for Swiss universities, startups, companies, and researchers. ### Source excerpt Lockheed Martin and IBM are launching a Swiss quantum innovation hub at ETH Zurich to advance research, industry collaboration, and workforce development. ## Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists DevFeed: [Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists]() Original publisher: [Read original article]() Published: 2026-09-09T04:00:00Z Content type: news Language: en Sources: [IBM Research]() Topics: [High-Performance Computing](), [ibm](), [Supercomputing](), [Benchmark](), [data]() Tags: [automated](), [chemistry](), [gpu](), [hpc](), [ibm](), [news](), [quantum](), [quantum-community](), [quantum-network](), [quantum-research](), [recognition](), [research](), [supercomputing](), [workflows]() ### AI overview Cleveland Clinic, RIKEN, and IBM were named finalists for the 2026 ACM Gordon Bell Prize for quantum-HPC chemistry research. The collaboration simulated a 12,635-atom protein system and reported an automated workflow that reduces coordination and data movement across quantum and classical computing resources. ### Source excerpt Finalist recognition for one of supercomputing's top prizes arrives as researchers report new progress in automated quantum-HPC chemistry workflows. ## IBM Research and Red Hat benchmark llm-d serving GLM-5.2 on H100 GPUs DevFeed: [IBM Research and Red Hat benchmark llm-d serving GLM-5.2 on H100 GPUs]() Original publisher: [Read original article]() Author: Peter Hess Published: 2026-09-08T12:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Inference](), [GPU](), [Self-hosted](), [Large Language Model](), [ibm]() Tags: [ai](), [ai-for-code](), [generative-ai](), [gpu](), [hybrid-cloud](), [hybrid-cloud-platform](), [ibm](), [inference](), [llm](), [news](), [open-source](), [scaling-ai](), [self-hosted]() ### AI overview IBM Research, Red Hat, and collaborators report a benchmark deployment of the llm-d open-source inference framework serving the open-weight GLM-5.2 model on 544 NVIDIA H100 GPUs. The reported workload reached more than 6.6 million output tokens per minute and up to 3,000 concurrent coding agents without preemptions. ### Source excerpt IBM Research and Red Hat deployed a 753B open model on H100 GPUs, serving thousands of concurrent coding agents at 5-10x lower cost than commercial APIs. ## IBM Quantum Nighthawk r2--more circuits, faster DevFeed: [IBM Quantum Nighthawk r2--more circuits, faster]() Original publisher: [Read original article]() Published: 2026-08-31T14:30:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [ibm](), [Quantum Computing](), [Hardware]() Tags: [hardware](), [ibm](), [performance](), [processor](), [quantum](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-systems](), [release](), [speed]() ### AI overview IBM Quantum Nighthawk r2 uses independent high-speed qubit reset to execute more than 100,000 circuits per second, providing up to 25 times the circuit throughput of IBM Quantum Heron. The 120-qubit processor also supports accurate results on circuits with more than 7,500 gates. ### Source excerpt High-speed, independent qubit reset boosts circuit throughput 25x over Heron while enabling accurate observable estimation on circuits with 7,500+ gates. ## Granite 4.2 brings native reasoning to enterprise agents DevFeed: [Granite 4.2 brings native reasoning to enterprise agents]() Original publisher: [Read original article]() Author: Mike Murphy; Kim Martineau Published: 2026-08-25T15:00:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [ibm](), [Large Language Model](), [Artificial Intelligence](), [Loop Engineering](), [Reinforcement learning](), [foundation-models](), [Software Engineering](), [Cloud]() Tags: [agentic](), [agents](), [ai](), [apache](), [cloud](), [fine-tuning](), [ibm](), [large-language-models](), [reasoning](), [reinforcement-learning](), [release](), [terminal]() ### AI overview IBM is releasing Granite 4.2 language models in 3B, 8B, and 30B sizes for enterprise agentic workflows. The models provide native reasoning, tool calling, instruction following, coding support, and deployment across cloud, on-premises, and edge environments. They are released under the Apache 2.0 license and trained with a multi-stage reinforcement learning process. ### Source excerpt IBM's new open Granite models are designed for agentic AI, combining reasoning, tool use, coding, instruction following, and speech capabilities. ## Qiskit Fermions: a modular toolbox for fermionic systems DevFeed: [Qiskit Fermions: a modular toolbox for fermionic systems]() Original publisher: [Read original article]() Published: 2026-08-24T14:30:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Software](), [Simulation](), [Open Source]() Tags: [open-source](), [quantum](), [quantum-computing](), [quantum-enablement](), [quantum-research](), [quantum-software](), [release](), [simulation](), [software]() ### AI overview IBM introduces Qiskit Fermions, an open-source modular toolbox for expressing fermionic operators and circuits, defining fermion-to-qubit mappings, and compiling fermionic workflows into quantum circuits. The package preserves fermionic structure until transpilation and supports quantum simulation workflows in areas including quantum chemistry, condensed-matter physics, and materials science. ### Source excerpt A new research tool for expressing fermionic operators, circuits, and mappings--and for building efficient fermionic algorithms. ## IBM's new modular architecture for cryogenic systems DevFeed: [IBM's new modular architecture for cryogenic systems]() Original publisher: [Read original article]() Published: 2026-08-19T10:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Hardware](), [Architecture & Design](), [ibm]() Tags: [architecture](), [hardware](), [ibm](), [news](), [quantum](), [quantum-computing](), [quantum-systems]() ### AI overview IBM describes a modular cryogenic architecture for connecting quantum processors through quantum and classical links. The design is intended to improve scalability, reliability, upgradeability, and support for future multi-chip, fault-tolerant quantum systems. ### Source excerpt Modular approach to housing and cooling quantum processors clears a path for interconnected, fault-tolerant systems. ## QOBLIB: tracking progress in quantum optimization DevFeed: [QOBLIB: tracking progress in quantum optimization]() Original publisher: [Read original article]() Published: 2026-08-12T13:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [benchmarking](), [Optimization](), [Framework](), [Website]() Tags: [benchmarking](), [benchmarks](), [community](), [framework](), [news](), [optimization](), [quantum](), [quantum-algorithms](), [quantum-community](), [quantum-computing](), [research](), [science]() ### AI overview IBM describes updates to the Quantum Optimization Benchmarking Library (QOBLIB), including a Nature Computational Science publication, a new website, and more than 2,000 submitted results. The initiative provides an open, community-driven framework for comparing quantum optimization benchmarks and assessing progress toward practical quantum advantage. ### Source excerpt Quantum advantage is here. The next question is where to apply it. New updates from the Quantum Optimization Working Group offer a glimpse at the path ahead. ## DocLang: a markup language for LLMs DevFeed: [DocLang: a markup language for LLMs]() Original publisher: [Read original article]() Author: Kim Martineau Published: 2026-08-12T12:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [XML](), [Parser](), [Parsing](), [Large Language Model](), [Generative AI](), [HTML]() Tags: [ai](), [algorithms](), [generative-ai](), [llms](), [news](), [parsing](), [xml]() ### AI overview IBM researchers introduce DocLang, a constrained XML sub-language designed to help large language models interpret document structure. The article explains how it represents semantics, layout, bounding boxes, and reading order, and how it may reduce token use, latency, and inference costs in AI pipelines. ### Source excerpt The lead researcher behind IBM's popular document parser, Docling, explains why generative AI needs its own document standard. ## IBM Releases GENCO and the GridFM Development Framework for Electric Grid Analysis DevFeed: [IBM Releases GENCO and the GridFM Development Framework for Electric Grid Analysis]() Original publisher: [Read original article]() Author: Peter Hess Published: 2026-08-11T13:00:40Z Content type: release Language: en Sources: [IBM Research]() Topics: [Artificial Intelligence](), [Algorithms](), [foundation-models](), [Open Source](), [Algorithms, Complexity](), [LLM evaluation / benchmarking](), [linux foundation]() Tags: [ai](), [algorithms](), [benchmarking](), [climate-and-sustainability](), [foundation-models](), [linux-foundation](), [open-source](), [release](), [research]() ### AI overview IBM Research and collaborators announce GENCO, an open-source neural solver for three steady-state electric-grid analysis tasks, alongside the GridFM Development Framework for building and benchmarking neural grid solvers. ### Source excerpt GENCO is a neural solver that, alongside the GridFM Development Framework, unifies three core electrical grid analysis tasks. ## The search for quantum advantage in differential equations DevFeed: [The search for quantum advantage in differential equations]() Original publisher: [Read original article]() Author: Robert Davis Published: 2026-08-03T13:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Algorithms, Complexity](), [Complex Systems]() Tags: [algorithms](), [complex-systems](), [ibm](), [mathematical-sciences](), [physics](), [q-a](), [quantum](), [quantum-algorithms](), [research](), [systems]() ### AI overview IBM researcher Hari Krovi discusses quantum algorithms for solving certain differential equations and their potential to scale beyond classical methods in selected applications. ### Source excerpt New quantum algorithms could unlock faster ways to model the complex systems behind circuits, fluids, finance, and more. ## Quantum advantage through trusted quantum computation DevFeed: [Quantum advantage through trusted quantum computation]() Original publisher: [Read original article]() Published: 2026-07-30T10:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [Simulation](), [Benchmark]() Tags: [news](), [process](), [quantum](), [quantum-algorithms](), [quantum-computing](), [quantum-error-correction-mitigation](), [quantum-research](), [reporting](), [science](), [techniques](), [the-result](), [validation](), [verification]() ### AI overview IBM reports three papers demonstrating quantum advantage with built-in validation, including validated error-mitigation techniques and methods for certifying classically hard quantum computations. The article explains how these approaches aim to establish trustworthy results when exact classical verification is unavailable. ### Source excerpt Demonstration shows trusted quantum computation in regimes where classical methods fail. ## EveryEvalEver aims to standardize AI benchmark reporting and sharing DevFeed: [EveryEvalEver aims to standardize AI benchmark reporting and sharing]() Original publisher: [Read original article]() Author: Kim Martineau Published: 2026-07-23T14:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Artificial Intelligence](), [benchmarking](), [LLM evaluation / benchmarking](), [ibm](), [hugging face](), [AI Models](), [data]() Tags: [ai](), [ai-evaluation](), [ai-models](), [ai-transparency](), [benchmarking](), [fairness-accountability-transparency](), [generative-ai](), [hugging-face](), [ibm](), [news](), [performance](), [reporting]() ### AI overview IBM, Hugging Face, and academic collaborators launched EveryEvalEver to make AI benchmark results easier to compare, replicate, and reuse. The project combines standardized reporting with a crowdsourced database of model evaluation results. ### Source excerpt IBM is part of a global team trying to make AI benchmarking results easier to compare, replicate, and reuse. ## IBM to acquire HRL Laboratories DevFeed: [IBM to acquire HRL Laboratories]() Original publisher: [Read original article]() Author: Ryan Mandelbaum Published: 2026-07-23T11:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [ibm](), [.NET Conf]() Tags: [acquisition](), [explainer](), [history](), [ibm](), [quantum](), [research](), [science](), [technology]() ### AI overview IBM announced a definitive agreement to acquire HRL Laboratories, citing HRL's silicon-spin qubit expertise as complementary to IBM's quantum-computing research. The article also recounts HRL's history, including its contributions to aviation, electronics, radar, and the invention of the laser. ### Source excerpt Exploring the storied history of HRL Laboratories, from the invention of the laser to silicon spin qubits. ## What are spin qubits? DevFeed: [What are spin qubits?]() Original publisher: [Read original article]() Published: 2026-07-23T11:00:00Z Content type: article Language: en Sources: [IBM Research]() Topics: [Quantum Computing](), [ibm]() Tags: [acquisition](), [explainer](), [ibm](), [quantum](), [quantum-computing](), [quantum-research](), [quantum-systems](), [research]() ### AI overview IBM explains spin qubits, including how electron spin can encode quantum information and how quantum dots control individual electrons. The article discusses spin qubits in the context of IBM's acquisition of HRL Laboratories and the scaling of quantum technologies. ### Source excerpt Spin qubits are an important element of IBM's recent HRL Laboratories acquisition. ## IBM commits $50M in quantum access for US Genesis Mission DevFeed: [IBM commits $50M in quantum access for US Genesis Mission]() Original publisher: [Read original article]() Published: 2026-07-22T20:00:00Z Content type: release Language: en Sources: [IBM Research]() Topics: [ibm](), [Artificial Intelligence](), [Quantum Computing](), [High-Performance Computing](), [Supercomputing]() Tags: [accelerate](), [ai](), [department-of-energy](), [discovery](), [government](), [high-performance-computing](), [ibm](), [news](), [project](), [quantum](), [supercomputing](), [us]() ### AI overview IBM says a project was selected by the U.S. Department of Energy's Genesis Mission to accelerate AI-driven scientific discovery and will contribute up to $50 million in quantum system access. The mission combines AI, quantum computing, supercomputing, and scientific instruments. ### Source excerpt An IBM project was also selected to accelerate AI-driven quantum application discovery.